Public research implementation surface for governed vector and KV-cache compression.
Learn more at hummbl.io.
This repo exists to provide a better implementation surface than the current fragmented TurboQuant-adjacent landscape.
Core goals:
- CPU reference implementation first
- reproducible benchmarks
- Windows via WSL2 first
- tuple-based experiment logging from day one
- method comparison across TurboQuant-style, QJL, and simple baselines
- vector encode / decode
- approximate dot product
- distortion metrics
- simple benchmark harness
- experiment logging
This repo is not yet a full inference-runtime integration project.
governed_compression/
core/
bench/
logging/
tests/
examples/
docs/
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
python -m governed_compression.cliSee REPO_HEALTH.md for the authoritative repository health contract and validation checks.
Stage 1 scaffold only.